Data Description & Plots

Education:

d.sessions.completed %>%
  ggplot(aes(education_level)) +
  geom_bar() +
  labs(title = "Education level distribution") +
  xlab("Education Level") +
  ylab("Count")

d.sessions.completed %>%
  ggplot(aes(education_field)) + geom_bar() +
  geom_bar() +
  labs(title = "Education field distribution") +
  xlab("Education field") +
  ylab("Count")

Work experience:

d.sessions.completed %>%
  ggplot(aes(work_domain)) +
  geom_bar() +
  labs(title = "Work domain distribution") +
  xlab("Work domain") +
  ylab("Count")

d.sessions.completed %>%
  ggplot(aes(work_experience_programming)) +
  geom_histogram(breaks = c(-1, 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60), closed="right") +
  labs(title = "Professional programming experience distribution") +
  xlab("Experience in years") +
  ylab("Count")

d.sessions.completed %>%
  ggplot(aes(work_experience_java)) +
  geom_histogram(breaks = c(-1, 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60), closed="right") +
  labs(title = "Professional Java experience distribution") +
  xlab("Experience in years") +
  ylab("Count")

Signup Codes:

d.sessions.completed %>%
  ggplot(aes(group)) +
  geom_bar() +
  labs(title = "signup group distribution") +
  xlab("Signup Group") +
  ylab("Count")